The Nuts and Bolts of Antibiograms in Long-Term Care Facilities J. - - PowerPoint PPT Presentation

The Nuts and Bolts of Antibiograms in Long-Term Care Facilities

• J. Kristie Johnson, Ph.D., D(ABMM)

Professor, Department of Pathology University of Maryland School of Medicine Director, Microbiology Laboratories University of Maryland Medical Center jkjohnson@som.umaryland.edu

March 6, 2018

Disclosures

• Applied BioCode -Research Grant
• Beckman Coulter-Speaker
• bioMérieux-Speaker
• M39 Working group member

Objectives

• Review core concepts of antibiotic susceptibility

and cumulative antibiotic susceptibility data/antibiograms

• Identify best practices for developing and

maintaining annual antibiograms in long-term care

• Define how cumulative susceptibility

data/antibiograms can be used in surveillance programs.

Antimicrobial Susceptibility Test

• Only performed on bacteria in which susceptibility to

standardized treatment is not predictable. – Predictable

• β-Streptococcus

– Not-predictable

• E. coli
• Antibiotics reported

– Cascading antibiotics – Additional antibiotics fro MDROs – What methods – Breakpoints used

Antibiotic Susceptibility Testing

Disk Diffusion Kirby Bauer Dilution Tube Dilution Agar Dilution Dilution and Diffusion E test

Qualitative Quantitative

Terminology

• Sensitive
• Based on the pharmaco-dynamics of an antimicrobial agent administered

according to the normally recommended dosage and the organism causing an infection, the agent will most likely inhibit the organism in vivo.

• Intermediate (indeterminate)/Susceptible Dose Dependent
• …..might inhibit the organism in vivo. /Use higher dose
• Resistant
• …..will most likely not inhibit the organism in vivo.
• Non-Susceptible
• …..Not enough data to know if it is likely to inhibit the organism in vivo.
• Epidemiological Cutoff Values
• Determines the MIC of Wildtype and non-WT.

Where does the data come from?

• Microbiology AST instruments
• Microbiology LIS
• Electronic Health Records (EHR)
• Clinical decision support system (CDSS)

3 Types of Cumulative AST Data Reports

• 1. Traditional Antibiogram
• 2. Enhanced Antibiogram
• 3. Non-Traditional Antibiograms

– Combined Antibiograms – Antimicrobial Resistance Surveillance Programs

Local Level – A single facility Regional, National

• r Global

What Is An Antibiogram?

• Presentation of cumulative antimicrobial susceptibility

testing (AST) data from a single institution on an annual basis

CLSI, M39-A4

“Routine” Cumulative antibiogram Generally…all isolates from a facility

The Why? - Purpose of the Antibiogram

• To help clinicians choose initial empiric

therapy

• Many more applications

– Dr. Kim Claeys presentation on February 6th discussed using the antibiogram for Antimicrobial Stewardship applications

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Traditional Methods: Same day ID & AST MALDI-TOF MS Direct from + blood diagnostics Direct from specimen diagnostics

Narrowed Treatment Empiric Treatment Targeted Treatment Day 0 Day 1 Day 2 Day 3

Isolation of your organism

• n solid media
• MALDI-TOF MS ID
• Set up of AST panels

Collection and plating

• f specimen in the lab

Standard AST panel results available

• Setup of additional

antimicrobials Additional AST results

Importance & Reliance on Antibiograms Grow!

Courtesy of Trish Simner

Who is Responsible for Creating the Antibiogram?

• Traditionally the microbiology laboratory

– Driven by access to the data from AST instruments or the LIS

• Shifting towards stronger collaborations with

Antimicrobial Stewardship Programs

– Automated EHR based antibiograms

• Should be a collaborative effort

– Clinical microbiologists, pharmacists, physicians, IT specialists

LIS: Laboratory Information System; EHR: Electronic Health Record; IT: Information Technology

Where Do You Start?

• M39-A4: Analysis and

Presentation of Cumulative Antimicrobial Susceptibility Test Data; Approved Guideline-Fourth Edition

• M39-A5 currently being

worked on. 2019-2020

– A newly created section on LTC

Preparation of Cumulative Antibiogram Recommendations

• WHEN?-Analyze/present data at least annually
• Include only verified final results
• Include only species with ≥ 30 isolates
• Include diagnostic (not surveillance) isolates
• Include the 1st isolate/patient; no duplicate isolates
• Only include routinely tested antimicrobial agents
• Report only %S and do not include I%

CLSI M39-A4

The Cumulative Antibiogram Report

• Analyzes data from routine antimicrobial susceptibility tests

performed in the clinical laboratory

• Separate report prepared for each healthcare facility
• Primarily used to guide empiric therapy
• Sometimes used to monitor resistance

– Changes in %S from year to year

• Highly impacted by

– patient population served – culturing practices

• If cultures only performed when patients fail therapy

– Laboratory antimicrobial susceptibility testing and reporting policies – Temporal outbreaks

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Organism Specific Recommendations

Bug/Drug Presentation of Data Streptococcus pneumoniae and penicillin List the %S using oral, meningitis and non-meningitis breakpoints Streptococcus pneumoniae and cefotaxime, ceftriaxone, cefepime List the %S using meningitis and nonmeningitis breakpoints Viridans group streptococci and penicillin List both the %S and %I Staphylococcus aureus List %S for all isolates and the methicillin-resistant S. aureus (MRSA) subset

• E. coli, K. pneumoniae and P.

mirabilis and cefazolin List % S using urine and non-urine breakpoints

CLSI M39-A4

Stratification of Antibiograms

• Nursing site or site of care

– ICU, burn unit, ED, outpatient clinic

• Specimen type of infection site

– Urine, blood

• Clinical service or patient population

– Surgical, pediatric, transplant, cancer

Answers to Commonly Asked Questions

How do I Apply Intrinsic Resistance?

The most up-to-date Intrinsic Resistance tables are located in the current M100 document.

CLSI, M100-S28.

What Do You Do With Susceptible Dose Dependent (SDD) Results?

• SDD: an interpretive category defined by a breakpoint that susceptibility of

an isolate is dependent on the dosing regimen that is used in the patient – Cefepime and Enterobacteriaceae – Fluconazole and C. albicans, C. glabrata, C. parapsilosis, & C. tropicalis – New in 2019:

• Daptomycin and Enterococcus spp
• Ceftaroline and Staphylococcus aureus

– Report both % S & %SDD either in the Table or as a footnote

N % S Cefepime %SDD Cefepime Escherichia coli 574 92a 3 Klebsiella pneumoniae 132 84b 2

a: “In addition, to the 92% S results, 3% were SDD (MIC 4 to 8 µg/mL) and

5% were R (MIC >16 µg/mL) to cefepime”

Why Do We Need a Minimum of N=30?

Sample size % S (95% CI) 10 44 to 97 100 71 to 87 1000 77 to 82

How Reliable is a Report of 80% Susceptible for E. coli and Ciprofloxacin?

• Less statistical validity of data

– Small numbers can skew the data

What Do I Do If We Don’t Reach N≥30?

• So what can you do?

– Analyze multiple years – add footnote – Report the results from N < 30 with a footnote

• “Calculated from fewer than the standard

recommendation of 30 isolates” – Group several species within a genus together – Aggregate data from multiple smaller facilities with a similar patient population in the same geographic area

Discuss more LTCF specific later

Enhanced Antibiogram

What Are Enhanced Antibiograms?

• Segregating cumulative antibiogram data by one or more of the following:

– Location – e.g., Inpatient vs Outpatient or ICU vs Oncology vs Non-ICU/Non- Oncology Wards – Specimen type – e.g. urine or blood specific – Clinical condition – e.g. cystic fibrosis, burn patients – Patient Age – e.g., pediatrics vs adults – Resistance Phenotype – e.g., MRSA, MSSA, carbapenem-resistant Enterobacteriaceae – Organism – e.g. anaerobe antibiogram – ASP Antibiograms – e.g. novel agents or last resort agents (colistin)

• Resistance Profiles

– % Susceptible for combinations of drugs – % Susceptible for groups of organisms (e.g., all GNR from blood)

Combination of Antimicrobial Agents

CLSI M39-A4

Organisms resistance characteristics

CLSI M39-A4

Non-Traditional Antibiograms

What About Non-Traditional Antibiograms?

• Accumulate AST data outside of a single

institution

– Combined Regional Antibiograms – Antimicrobial Resistance Surveillance Programs (ARSP)

• Creating an ARSP report – New in M39-A5

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Characteristic Routine Antibiogram Non-Traditional Antibiogram Study Period Annually Defined by study # of Institutions One Multiple Presentation Table Report with I, M&M, R and D

When To Consider Utilizing Non- Traditional Antibiogram Data?

• The use of a local cumulative antibiogram is

preferred to guide initial empiric therapy

• Non-Traditional antibiogram data:

– Used when local AST data are not available, are limited in size or scope – Used as a benchmark to compare local data to regional and national findings

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Combined REGIONAL Antibiogram

• Compilation of data from facility-level

antibiograms

• Susceptibility was defined by local labs

in all circumstances

• Created a report with an Introduction,

Methodology Notes, Antibiogram Table & Breakdown by Individual Organisms

• Methodology Notes Included:

– Differences in breakpoints (eg cephalosporin & carbapenem breakpoints)

• Differences in agents within a class

(eg ciprofloxacin vs levofloxacin)

http://publichealth.lacounty.gov/acd/AntibiogramData.htm

Applications of Cumulative AST Data

Many Applications of Cumulative AST data

Stake Holder Application Physicians Empiric therapy decisions Clinical Microbiology Laboratories Benchmarking, quality control, role of rapid diagnostics Antimicrobial Stewardship Programs Antimicrobial therapy recommendations and formulary decisions Infection Prevention and Control Benchmarking to evaluate infection control practices Pharmaceutical Industry Informs new drug development Regulatory Informs regulatory practices Public Health Monitoring changes in resistance levels and public health interventions

Courtesy of Trish Simner

Increasing Awareness of Antibiograms

Increasing Awareness

• f Antibiogram Data

Methods for Antibiogram Data Dissemination

Pocket guides/booklets Laminated posters Hospital newsletter article Posting within hospital intranet/EMR Email to all prescribers Smartphone or tablet applications Presentations

CLSI M39-A4

Increasing Awareness of Antibiogram Data

Appendix G – provides stepwise instructions on presenting the local cumulative antibiogram data to healthcare professionals

• Explain purpose of the local cumulative antibiogram with a

brief description of how the report is prepared

• Describe any software limitations
• Describe the rationale used for separating data into

subgroups for the report

• Present graphs and charts for trends that are monitored each

year

CLSI M39-A4, 2014

Recommendations in the New M39-A5 for LTC

Optimizing Culturing Practices in LTCF

• Suspected Urinary Tract Infection – To avoid over-culturing,

consider developing a policy with the LTCF reference lab to determine if culture can be performed ONLY on urine specimens with significant pyuria (auto-reflex to culture).

• Suspected Pneumonia – Obtain an expectorated sputum

sample, if possible, for Gram stain and culture.

• Suspected Skin and Soft Tissue Infection – If the skin infection

is associated with an abscess or area of purulence, send a sample of the pus to the lab for culture.

Responsibility for Cumulative Antibiogram Development

• The willingness of the referral lab to either develop the antibiogram or

provide susceptibility reports for antibiogram development should be determined.

– Guidelines that will be followed for antibiogram development (e.g., CLSI M39) – Information (e.g., bacteria, antibiotics, etc.) that should be included in the antibiogram – Method for collection of cumulative susceptibility data – Method for data analysis, presentation and formatting (e.g., time period of antibiogram, data segregation techniques, the utility of infection-specific reports, etc)

• Multiple Referral Labs

– Variations in laboratory practice must be considered (breakpoints) – Data formatted the same way – Appropriate and correct data from each laboratory

Data Analysis Techniques

• First Isolate per Patient

– First isolate per reporting period

• Handling of small numbers (≤30)

– Consider combining data from multiple years – Consider combining species, if applicable – Consider using data from other sources – Evaluate current culturing practices to assure that all patients with suspected infection are being cultured appropriately. – Consider constructing a cumulative antibiogram from patients in the general community in age category 65 and

• lder.

More information and resources on the development of a LTCF Antibiogram

• https://www.ahrq.gov/nhguide/toolkits/help-

clinicians-choose-the-right- antibiotic/index.html

Summary

• M39-A4 provides guidelines for creating a

cumulative antibiogram

• There are 3 types of cumulative antibiograms
• Cumulative antibiograms can be stratified by

different patient, hospital, or organism characteristics

• New Guidelines specific for LTCF will be in the

new edition of M39-A5 coming out in 2020